基于云模型的煤炭矿区隐蔽致灾地质因素评价
Evaluation of geologic factors of hidden disaster in coal mining area based on cloud model
商宇航 1李昌 2窦德胜 1苏睿1
作者信息
- 1. 黑龙江科技大学 矿业工程学院,哈尔滨 150022
- 2. 西安地质矿产勘查开发院有限公司,西安 710100
- 折叠
摘要
为明确矿井隐蔽致灾地质因素,合理制定精准防治措施.以黑龙江省东部四个煤炭矿区为研究对象,构建了以层次分析法、熵权法、云模型三种评价方法融合的煤矿隐蔽致灾地质因素危险性评价模型,计算并分析各因素的综合权重及综合评价云图,评价其危险性等级.结果表明:鸡西、鹤岗、七台河矿区评价结果为Ⅳ级,双鸭山矿区评价结果为Ⅴ级.该研究可为实现煤矿事故提前警戒预防,保障煤矿安全高效生产提供参考.
Abstract
This paper intends to determine the geological factors of hidden disasters in mines,and reasonably formulates the precise prevention and control measures.The study building on the four coal mining areas in eastern Heilongjiang Province involves establishing a risk assessment model of hidden ge-ological factors in coal mines based on the integration of three evaluation methods including the analytic hierarchy process,the entropy weight method and the cloud model,calculating and analyzing the compre-hensive weight and comprehensive evaluation cloud map of each factor,and evaluating their risk levels.The results show that Jixi,Hegang and Qitaihe mining areas are evaluated as level IV,and Shuangyashan mining area is evaluated as level V.This study can provide a reference for the early warning and preven-tion of coal mine accidents and the safe and efficient production.
关键词
煤炭矿区/隐蔽致灾/地质因素/云模型Key words
coal mining area/hidden disaster causing/geological factors/cloud model引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据